Big Data Engineer

Responsibilities

• Design and develop microservices architecture using Java Spring Boot, ensuring system performance, scalability, and reliability.
• Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud.
• Analyze, process, and explore data using big data technologies.
• Optimize and manage data storage and retrieval systems like ES/HBase ensuring efficient data handling.
• Work closely with business stakeholders to understand requirements and deliver data solutions that align with business goals.
• Monitor, troubleshoot, and improve backend services to ensure smooth operation.
• Participate in the full development lifecycle, including requirements gathering, system design, coding, testing, and deployment.
• Maintain and enhance existing backend services, ensuring code quality and performance.
• Collaborate with cross-functional teams to integrate data solutions into existing applications.

Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 8 years of professional experience in Java development, with a minimum of 3 years focused on Spring Boot microservices.
• Expertise in designing and implementing Java Spring-based microservices architecture, with experience in Spring Cloud.
• Hands-on experience with data development and big data technologies, including Hive, Spark and Flink
• Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
• Proficient in optimizing and managing large-scale databases and data processing workflows.
• Strong problem-solving skills, with a proven ability to troubleshoot and optimize backend services.
• Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.
• Experience with CI/CD pipelines, such as Jenkins or GitLab CI, is a plus.
• Knowledge of cloud services like AWS or is a plus.
• Strong knowledge of financial or blockchain business models and processes, is a plus.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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